Haytham Assem
Haytham Assem
Senior Science Manager, Amazon Alexa AI
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Cited by
Urban water flow and water level prediction based on deep learning
H Assem, S Ghariba, G Makrai, P Johnston, L Gill, F Pilla
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
Monitoring VoIP call quality using improved simplified E-model
H Assem, D Malone, J Dunne, P O'Sullivan
2013 International Conference on Computing, Networking and Communications …, 2013
Deepad: A generic framework based on deep learning for time series anomaly detection
TS Buda, B Caglayan, H Assem
Pacific-Asia conference on knowledge discovery and data mining, 577-588, 2018
Big data analytics for sensor-network collected intelligence
HH Hsu, CY Chang, CH Hsu
Morgan Kaufmann, 2017
Can machine learning aid in delivering new use cases and scenarios in 5G?
TS Buda, H Assem, L Xu, D Raz, U Margolin, E Rosensweig, DR Lopez, ...
NOMS 2016-2016 IEEE/IFIP Network Operations and Management Symposium, 1279-1284, 2016
CogNet: A network management architecture featuring cognitive capabilities
L Xu, H Assem, IGB Yahia, TS Buda, A Martin, D Gallico, M Biancani, ...
2016 European Conference on Networks and Communications (EuCNC), 325-329, 2016
Rule-based adaptive monitoring of application performance
ER Altman, HAAA Salama, NM Mitchell, PJ O'Sullivan, AOP DOMINGUEZ, ...
US Patent 10,078,571, 2018
Spatio-temporal clustering approach for detecting functional regions in cities
H Assem, L Xu, TS Buda, D O'Sullivan
2016 IEEE 28th international conference on tools with artificial …, 2016
View on 5G architecture
S Redana, A Kaloxylos, A Galis, P Rost, V Jungnickel
White paper of the 5G-PPP architecture WG, 2016
Machine learning as a service for enabling Internet of Things and People
H Assem, L Xu, TS Buda, D O’Sullivan
Personal and Ubiquitous Computing 20, 899-914, 2016
RCMC: Recognizing crowd-mobility patterns in cities based on location based social networks data
H Assem, TS Buda, D O’sullivan
ACM Transactions on Intelligent Systems and Technology (TIST) 8 (5), 1-30, 2017
Monitoring voice over internet protocol (VoIP) quality during an ongoing call
H Assem, J Dunne, JP Galvin Jr, PJ O'sullivan
US Patent 9,325,838, 2016
Dynamically adapting a test workload to accelerate the identification of performance issues
ER Altman, HAAA Salama, NM Mitchell, PJ O'Sullivan, AOP DOMINGUEZ, ...
US Patent 10,176,022, 2019
Analysis of machine learning techniques for anomaly detection in the internet of things
S Brady, D Magoni, J Murphy, H Assem, AO Portillo-Dominguez
2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2018
Cross-lingual sentence embedding using multi-task learning
K Goswami, S Dutta, H Assem, T Fransen, JP McCrae
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
ADE: an ensemble approach for early anomaly detection
TS Buda, H Assem, L Xu
2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM …, 2017
St-dennetfus: A new deep learning approach for network demand prediction
H Assem, B Caglayan, TS Buda, D O’Sullivan
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
Quality of experience for communication sessions
HAAA Salama, J Dunne, JP Galvin Jr, L Harpur
US Patent 9,711,151, 2017
Quality of experience for communication sessions
J Dunne, JP Galvin Jr, PJ O'sullivan, HAAA Salama
US Patent 9,397,947, 2016
A generic algorithm for mid-call audio codec switching
H Assem, M Adel, B Jennings, D Malone, J Dunne, P O'Sullivan
2013 IFIP/IEEE International Symposium on Integrated Network Management (IM …, 2013
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